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UAI
1996
13 years 9 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
BC
2007
81views more  BC 2007»
13 years 8 months ago
Cross-intensity functions and the estimate of spike-time jitter
Correlation measures are important tools for the analysis of simultaneously recorded spike trains. A well-known measure with probabilistic interpretation is the cross-intensity fun...
Richard H. R. Hahnloser
KES
2008
Springer
13 years 8 months ago
Application of the Fuzzy Min-Max Neural Networks to Medical Diagnosis
In this paper, the Fuzzy Min-Max (FMM) neural network along with two modified FMM models are used for tackling medical diagnostic problems. The original FMM network establishes hyp...
Anas Quteishat, Chee Peng Lim
JUCS
2006
113views more  JUCS 2006»
13 years 8 months ago
A Collaborative Biomedical Research System
: The convergence of need between improved clinical care and post genomics research presents a unique challenge to restructuring information flow so that it benefits both without c...
Adel Taweel, Alan L. Rector, Jeremy Rogers
IJMI
2007
134views more  IJMI 2007»
13 years 8 months ago
Investigating risk exposure in e-health systems
: The increasing dependency being placed on electronic health information systems presents new challenges for today’s health managers and systems developers. This paper uses Elec...
Peter R. Croll, Jasmine Croll